Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

AI Is Learning to Escape Human Control Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency. By Judd Rosenblatt Share ...

Researchers from East China Normal University have developed a novel PV power prediction model for scenarios with considerable fluctuations. Dubbed CRAK, the new hybrid deep learning model ...

In-context learning (ICL), on the other hand, doesn’t change the model’s underlying parameters. Instead, it guides the LLM by providing examples of the desired task directly within the input ...

By consolidating the disparate timescales of learning into a unified model, the research offers a new perspective on human learning and a framework for exploring the theoretical benefits and ...

An AI model trained on analyzing ultrasound images and molecular testing results may assist health care professionals treating indeterminate thyroid nodules, researchers stated in a letter to the ...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study. If you have the appropriate ...

After training a machine learning model on the patients’ functional brain images and clinical assessments, the researchers found that the model was able to predict an individual’s PTSD symptom ...

The objectives of this study are: 1) to compare the accuracy of knee joint torque prediction using a deep learning model integrated with a calibrated musculoskeletal model versus a standard deep ...

Tiger Brokers said on Tuesday it embedded DeepSeek's model into its AI-powered chatbot, as brokerages and money managers race to capitalise on the Chinese start-up's artificial intelligence ...